HI THERE I’m Kamyshnikov Dmitrij
ML Engineer +
GOOD GUY based in Innopolis.

  • 6+ Experience
  • 10 Projects
  • 23 How old

About Me

Graduate of TSPU, 2023, Bachelor's degree in Fundamental Computer Science and Information Technologies. 6+ years of non-commercial programming experience. The last 8 months have been actively studying Data Science.

Leadership in a startup (6+ people). Internship at VNIIGAZ in the field of machine learning. The author of a scientific article. The winner of Tula Hack Days 2023.

I strive to work in the field of machine learning, my passion is to create smart systems capable of solving complex problems and making autonomous decisions.

Core Skills

  • Python
  • Pandas
  • NumPy
  • SciPy
  • SpaCy
  • Scikit-learn
  • NLP
  • BERT
  • CV
  • Matplotlib
  • Seaborn
  • TensorFlow
  • PyTorch
  • Keras
  • LangChain
  • GPT-3
  • Caffe
  • XGBoost
  • Reinforcement learning
  • SQL
  • Neo4j
  • MongoDB
  • PostgreSQL
  • Sequelize
  • OOP
  • GIT

Other Skills

  • Android dev
  • Flutter
  • JavaScript
  • HTML
  • CSS
  • Kotlin
  • Java
  • C/C++
  • C#
  • PHP
  • SQLite
  • RE
  • PyPDF2
  • pdfminer
  • pdfplumber
  • Bootstrap
  • Silenium
  • Hypothesis Testiná
  • Team work
  • Soft Skills
  • English

Work Experience

10/2023 - Present

INNOPROG | Innopolis, Republic of Tatarstan

Python Teacher

Conducting Python programming lessons specifically for children, ensuring that the content is fun and age-appropriate.

  • Achievements: Received positive feedback from both parents and students for creating an exciting and effective learning process.
11/2023 - 12/2023

VNIIGAZ | Innopolis, Republic of Tatarstan

Intern ML Engineer

As part of the internship, he developed a software solution for automating recruitment using NLP methods and PDF resume analysis.

  • Business benefits: Reducing the time spent on resume analysis, improving the accuracy of recruitment.
  • Stack: PyPDF2, pdfminer, pdfplumber, re, SpaCy, Pandas, Matplotlib.

09/2022 - 06/2023

Quantorium | Tula, Tula region

Teacher of additional education

Development and implementation of educational programs in the field of additional education for students Organization and conduct of classes on topics related to technology and application development for Android and Js.

  • Achievements: I received positive feedback from students and their parents about the quality of the educational process and taught more than 50 children Android and Js development.
10/2019 - 02/2020

Secure telecommunications | Tula, Tula region

Intern Full-Stack Developer

Mastering the basics of working with client-server applications in the field of secure telecommunications Development of a system for accessing the company's corporate database.

  • Achievements: Mastered the basics of a full-stack developer. He created a database access system that ensures secure interaction with confidential information. Developed and implemented functionality to improve the efficiency of interaction with the database.
  • Stack: HTML, CSS, PHP, SQL, HTTPS, JS, Bootstrap, Silenium.

Latest works

Build detection and classification

Our project aims to automate the detection and classification of real estate objects on land plots, significantly improving the efficiency of identifying structures and aiding in urban planning. The implemented solution boasts a precision of 81.52% (mAP) and includes a user-friendly web application.

Details News

GoOpenSource

Project is a solution to find the right projects for your goals. You can find the right project for your business/research. The platform aggregates projects from multiple sources and allows you to quickly and accurately find the right basis for the realization of your ideas.

Details Website

Food image recognition

Detection of inconsistencies in food descriptions in online food ordering and delivery platform serves as an important ingredient for success, customer retention and satisfaction. Most companies providing online food ordering and delivery platforms are gradually utilising deep learning based solutions to detect if a food image shown on their platform conforms to the description given or category.

Details